The increased attention of society to climate change, drought and flood early warning systems, ecosystem monitoring and biodiversity conservation has led to a large demand for estimating, modelling, mapping, and forecasting evapotranspiration (ET) as a key water flux at the soil-vegetation-atmosphere interface. Cutting-edge techniques such as artificial intelligence (AI), data fusion, sharpening algorithms, and the integration of physical- and process-based models with empirical/statistical methods and machine learning are essential for bridging different scales while addressing and communicating method-specific uncertainties.
This session will focus on various ET estimation methods, including sap flow or soil heat pulse sensors, lysimeters, eddy covariance stations, scintillometers, and remote sensing. We will also explore new techniques like AI, data fusion, sharpening algorithms, machine learning, and cloud computing. Additionally, we will cover detailed evaluations of scale dependencies, strategies to handle uncertainties, systematic biases, and the representativity of estimates.
We welcome contributions that (1) assess and compare various in-situ and remote sensing methods, (2) analyse trends and spatio-temporal patterns in ET data, including error sources and uncertainty, (3) bridge scales between different in-situ measurements, modelled and remotely sensed ET, including validation and calibration challenges, (4) evaluate challenges and opportunities of applying AI methods, cloud computing and new technologies.
We plan to have a little networking meetup at the session posters in the lunch break, so please feel free to join, bring your lunch and have a chat. :)
Speakers
- Jacob Nelson, Max Planck Institute for Biogeochemistry, Germany
- Marius Floriancic, ETH Zürich, Switzerland
- Luuk van der Valk, Delft University of Technology, Netherlands
- Adrian Dahlmann, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
- Stefan Seeger, University of Goettingen, Germany
- Ryan Bright, Norwegian Institute of Bioeconomy Research, Norway
- Pierre Laluet, TU Wien, Austria
- Paolo Deidda, Eurac Research, Italy
- Bruce Wickham, The University of Sheffield, United Kingdom
- Juan Manuel Sánchez, University of Castilla-La Mancha, Spain
- Kelly K. Caylor, University of California, Santa Barbara, United States of America
- Carmelo Cammalleri, Politecnico di Milano, Italy
- Jenny Kröcher, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
- Mohammad Karimi Firozjaei, Tehran, Iran
- Oscar Manuel Baez Villanueva, Ghent University, Belgium
- Samuel Mwangi, Universite Toulouse III, France
- Liduin Bos-Burgering, Technical University of Delft, Netherlands
- Daniel Schulz, Jülich Research Centre, Germany
- Jamil Alexandre Ayach Anache, Universidade de São Paulo, Brazil
- Krisztina Pintér, Hungarian University of Agriculture and Life Sciences, Hungary
- Lu Yang, Tsinghua University, China
- Pamela Nagler, U. S. Geological Survey, United States of America
- Qiaomei Feng, Southern University of Science and Technology, China
- Liya Zhao, Wuhan University, China
- Jamal ElFarkh, Université Mohammed VI Polytechnique, Morocco